PINA is a Python package providing an easy interface to deal with physics-informed neural networks (PINN) for the approximation of (differential, nonlinear, …) functions. Based on Pytorch, PINA offers a simple and intuitive way to formalize a specific problem and solve it using PINN. The approximated solution of a differential equation can be implemented using PINA in a few lines of code thanks to the intuitive and user-friendly interface.
1 maintainer
Metadata
1 maintainer
Release files for pina-mathlab 0.0.3.post2310
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pina-mathlab-0.0.3.post2310.tar.gz | 37.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pina_mathlab-0.0.3.post2310-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 82.4 kB
Release files / pina-mathlab-0.0.3.post2310.tar.gz
| Download URL | pina-mathlab-0.0.3.post2310.tar.gz |
|---|---|
| Size | 37.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
48a5430855c96f654b4ab7826a9e8c019d7e2877616b0b82a862567b809719be
|
|
BLAKE2b-256 checksum How to use checksums |
addb4126d45df95aa5d991bcc01cc051959c8187bbbd802e9b034f3ff085507f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|
Release files / pina_mathlab-0.0.3.post2310-py3-none-any.whl
| Download URL | pina_mathlab-0.0.3.post2310-py3-none-any.whl |
|---|---|
| Size | 44.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
aea487aca828fc8b8e1db100318a8235eae30acbabd123173de7ac401b690584
|
|
BLAKE2b-256 checksum How to use checksums |
fedc94e3a680a378dc3c3ecb2455110216bfd8fa0eeee829793d2ba43b1dcf23
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|
